Gender: Male 
Age: 55-60
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Divorced 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: Undergraduate degree
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Retired
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Listen to rock/indie music;Exercise;Use social media;Do arts and crafts;Watch sports 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Google Gemini 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generate art;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Solving math or logical problems;Digital content creation (e.g., creation of social media content) 
Contexts of LLM use: Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: How do I get into Hyrule Castle in Zelda Tears of the Kingdom?
Prompt 2: What is the most traveled trail in the white mountains
Prompt 3: Can you help to make a birthday card for my mother?
Prompt 4: can you add some humor to the response
Prompt 5: What is the best starting word for wordle?
Prompt 6: I have a few ingredients lying around.  Can you figure out something to make with them?
Prompt 7: I have dried black beans, a sweet potato and some spices.
Prompt 8: How do you do your first turn in Mexican Train?
Prompt 9: In Mexican Train, if you can't start your own train, can you play on another's open train?
Prompt 10: Do you know another about Path of Exile 2?
Comments: This was interesting and fun going through my recent chatbot requests.